4 ways to monetize data using IBM Cloud Private for Data

SAMPADA BHASARKAR | January 31, 2019

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Virtually every company is trying to discover the potential of the data they are collecting, generating and analyzing. It’s not the data itself that creates the commercial value. Value creation depends on data management when insights can be found in a timely manner. Not all organizations are equally adept at translating data into dollars, but their ability or inability to do so is impacting how well they compete. Data monetization requires a platform and architecture that can meet technical demands, including data integration, governance, machine learning and all cloud deployment characteristics.

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EXASOL

EXASOL is passionate about helping companies to run their businesses smarter and drive profit by analyzing data and information at unprecedented speeds. The company develops the world’s fastest in-memory database for analytics and data warehousing, and offers first-class know-how and expertise in data insight and analytics. The in-memory analytic database is the first to combine in-memory, columnar compression and massively parallel processing, and is proven to be the world’s fastest topping the list in the TPC-H Benchmark tests for performance.

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Advanced Data and Analytics Can Add Value in Private Equity Industry!

Article | January 6, 2021

As the organizations go digital the amount of data generated whether in-house or from outside is humongous. In fact, this data keeps increasing with every tick of the clock. There is no doubt about the fact that most of this data can be junk, however, at the same time this is also the data set from where an organization can get a whole lot of insight about itself. It is a given that organizations that don’t use this generated data to build value to their organization are prone to speed up their obsolescence or might be at the edge of losing the competitive edge in the market. Interestingly it is not just the larger firms that can harness this data and analytics to improve their overall performance while achieving operational excellence. Even the small size private equity firms can also leverage this data to create value and develop competitive edge. Thus private equity firms can achieve a high return on an initial investment that is low. Private Equity industry is skeptical about using data and analytics citing the reason that it is meant for larger firms or the firms that have deep pockets, which can afford the revamping cost or can replace their technology infrastructure. While there are few private equity investment professionals who may want to use this advanced data and analytics but are not able to do so for the lack of required knowledge. US Private Equity Firms are trying to understand the importance of advanced data and analytics and are thus seeking professionals with the expertise in dealing with data and advanced analytics. For private equity firms it is imperative to comprehend that data and analytics’ ability is to select the various use cases, which will offer the huge promise for creating value. Top Private Equity firms all over the world can utilize those use cases and create quick wins, which will in turn build momentum for wider transformation of businesses. Pinpointing the right use cases needs strategic thinking by private equity investment professionals, as they work on filling the relevant gaps or even address vulnerabilities. Private Equity professionals most of the time are also found thinking operationally to recognize where can they find the available data. Top private equity firms in the US have to realize that the insights which Big data and advanced analytics offer can result in an incredible opportunity for the growth of private equity industry. As Private Equity firms realize the potential and the power of big data and analytics they will understand the invaluableness of the insights offered by big data and analytics. Private Equity firms can use the analytics insights to study any target organization including its competitive position in the market and plan their next move that may include aggressive bidding for organizations that have shown promise for growth or leaving the organization that is stuffed with loads of underlying issues. But for all these and also to build careers in private equity it is important to have reputed qualification as well. A qualified private equity investment professional will be able to devise information-backed strategies in no time at all. In addition, with Big Data and analytics in place, private equity firms can let go of numerous tasks that are done manually and let the technology do the dirty work. There have been various studies that show how big data and analytics can help a private Equity firm.

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Do You Know the Differences Between Business Analytics and Data Analytics?

Article | January 6, 2021

There are some fundamental differences between Business Analytics and Data Analytics, though both hold their own importance. For example, to discover patterns and observations that are ultimately used to make informed organizational decisions, Data Analytics includes analyzing datasets. On the other hand, to make realistic, data-driven business decisions, Business Analytics focuses on evaluating different kinds of information and making improvements based on those decisions. In this blog, we discuss in more detail their individual benefits and areas of expertise. Data Analytics vs. Business Analytics attracts a lot of interest from budding analysts; we will take multiple factors into account and help explain the difference between data analyst and business analyst.

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Big Data Could Undermine the Covid-19 Response

Article | January 6, 2021

THE CORONAVIRUS PANDEMIC has spurred interest in big data to track the spread of the fast-moving pathogen and to plan disease prevention efforts. But the urgent need to contain the outbreak shouldn’t cloud thinking about big data’s potential to do more harm than good.Companies and governments worldwide are tapping the location data of millions of internet and mobile phone users for clues about how the virus spreads and whether social distancing measures are working. Unlike surveillance measures that track the movements of particular individuals, these efforts analyze large data sets to uncover patterns in people’s movements and behavior over the course of the pandemic.

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Why data analytics is helping telcos keep the lights on during unprecedented times

Article | January 6, 2021

Our ‘new normal’, as we adapt to living and working in a COVID-19 era highlights the mission critical role that technology leadership continues to play in all our lives. One where having almost instantaneous access to data and the ability to communicate from anywhere has never been more business critical.Last week, Australia’s major telecommunication service providers were granted authorisation by the ACCC to collaborate to keep critical services operating effectively during the current COVID-19 pandemic.

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Spotlight

EXASOL

EXASOL is passionate about helping companies to run their businesses smarter and drive profit by analyzing data and information at unprecedented speeds. The company develops the world’s fastest in-memory database for analytics and data warehousing, and offers first-class know-how and expertise in data insight and analytics. The in-memory analytic database is the first to combine in-memory, columnar compression and massively parallel processing, and is proven to be the world’s fastest topping the list in the TPC-H Benchmark tests for performance.

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